Evidence map›Paper›PMID 25563767›Full record

SynthesisThe British journal of ophthalmology2015

Telemedicine for detecting diabetic retinopathy: a systematic review and meta-analysis.

Lili Shi, Huiqun Wu, Jiancheng Dong, Kui Jiang, Xiting Lu, Jian Shi

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The British journal of ophthalmology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 4 pooled it
14.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

83 citing papers in PubMed, 4 syntheses or guidelines pooled it, 165 citations in OpenAlex.

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  8. Systemic Diseases and the Eye: A Translational Perspective on Diabetes.Chronic diseases and translational medicine · 2026
    Review
  9. Article
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  15. Telemedicine for diabetic retinopathy screening.The Cochrane database of systematic reviews · 2026
    Article
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  20. Article

23 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Lili ShiDepartment of Medical informatics, Nantong University, Nantong, China Nantong University Library, Nantong, China.
Huiqun WuDepartment of Medical informatics, Nantong University, Nantong, China.
Jiancheng DongDepartment of Medical informatics, Nantong University, Nantong, China.
Kui JiangDepartment of Medical informatics, Nantong University, Nantong, China.
Xiting LuDepartment of Ophthalmology, Suzhou Municipal Hospital, Suzhou, China.
Jian ShiDepartment of Ophthalmology, Affiliated Hospital of Nantong University, Nantong, China.
Nantong University · CNSuzhou Municipal Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the diagnostic accuracy of telemedicine in various clinical levels of diabetic retinopathy (DR) and diabetic macular oedema (DME).

methodsPubMed, EMBASE and Cochrane databases were searched for telemedicine and DR. The methodological quality of included studies was evaluated using the Quality Assessment for Diagnostic Accuracy Studies (QUADAS-2). Measures of sensitivity, specificity and other variables were pooled using a random effects model. Summary receiver operating characteristic curves were used to estimate overall test performance. Meta-regression and subgroup analyses were used to identify sources of heterogeneity. Publication bias was evaluated using Stata V.12.0.

resultsTwenty articles involving 1960 participants were included. Pooled sensitivity of telemedicine exceeded 80% in detecting the absence of DR, low- or high-risk proliferative diabetic retinopathy (PDR), it exceeded 70% in detecting mild or moderate non-proliferative diabetic retinopathy (NPDR), DME and clinically significant macular oedema (CSME) and was 53% (95% CI 45% to 62%) in detecting severe NPDR. Pooled specificity of telemedicine exceeded 90%, except in the detection of mild NPDR which reached 89% (95% CI 88% to 91%). Diagnostic accuracy was higher with digital images obtained through mydriasis than through non-mydriasis, and was highest when a wide angle (100-200°) was used compared with a narrower angle (45-60°, 30° or 35°) in detecting the absence of DR and the presence of mild NPDR. No potential publication bias was detected.

conclusionsThe diagnostic accuracy of telemedicine using digital imaging in DR is overall high. It can be used widely for DR screening. Telemedicine based on the digital imaging technique that combines mydriasis with a wide angle field (100-200°) is the best choice in detecting the absence of DR and the presence of mild NPDR.

Indexed as

Databases, FactualDiabetic RetinopathyHumansMacular EdemaReproducibility of ResultsROC CurveSensitivity and SpecificityTelemedicineDiagnostic tests/InvestigationRetinaTelemedicine

Identifiers

PMID25563767
PMCPMC4453504
OpenAlexW2170722623

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.